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New York City based startup Emergence AI, founded by former IBM researchers, previously made headlines for its impressive automated system that allows enterprises to type in a requested task in plain natural language and automatically create a fleet of agents to help complete it.
But that’s not all the company has up its sleeve when it comes to automation and AI: today it is launching CRAFT, a new self-serve platform designed to automate enterprise data pipelines, that is, all the enterprise data a user could ever want, organized and made searchable behind the scenes, and retrievable in seconds with the help of Emergence’s AI agents.
Using only plain English, CRAFT allows business users — not just developers — to construct intelligent agent systems that handle tasks traditionally managed by teams of engineers.
Emergence AI designed its platform to be interoperable with a range of leading AI models and agent frameworks. The system integrates with foundation models such as OpenAI’s GPT-4o and GPT-4.5, Anthropic’s Claude 3.7 Sonnet, and Meta’s Llama 3.3. It also supports orchestration frameworks including LangChain, Crew AI, and Microsoft Autogen, allowing enterprises to bring their own models and tools into CRAFT’s agentic workflows with minimal friction.
CRAFT, which stands for Create, Remember, Assemble, Fine-tune, Trust, is positioned as a solution for a global challenge that represents over $200 billion in annual enterprise spend. It replaces brittle, developer-intensive workflows with swarms of self-governing agents capable of building, testing, and running data workflows from a simple prompt.
“This is a big moment,” said Satya Nitta, Co-founder and CEO of Emergence AI. “I’m very excited about the refinement of what we’re trying to do.”
What is Emergence AI and who is behind it?
Emergence AI was founded by veterans of IBM Research and came out of stealth in late 2024 with over $97 million in funding. The company first drew industry attention with the launch of its cross-platform multi-agent orchestrator, designed to operate across enterprise systems from various vendors. Unlike offerings from Microsoft, Salesforce, or Amazon, Emergence emphasized cross-vendor compatibility as a core advantage. Read the full story at VentureBeat.
According to Nitta, “The action space, as I call it, is very hard to generalize. That’s one of the core challenges we’ve unpacked.” Emergence’s orchestrator functions as a meta-agent, dynamically planning and executing tasks across disparate systems using a blend of web automation and secure API integrations.
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